Building Intelligence Systems for Scale

Every scaling company hits the same walls: institutional knowledge trapped in people's heads, processes that worked at 20 people breaking at 200, decisions made on gut feel because the data is scattered across 47 tools.

I've spent my career building the operational infrastructure that lets companies grow without breaking. Now I'm building the AI systems that make that infrastructure smarter.

Operations isn't a back-office function—it's the difference between companies that scale and companies that stall. The teams that win are the ones that can predict bottlenecks before they hit them, preserve knowledge as people come and go, and make faster decisions with better information.

AI changes what's possible here. Not by replacing operators, but by giving them leverage they've never had.